Predictive Data Analyst (Contract Position - 12 months)
Buxton · United States
- Hybrid
- Contract
- $78,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Lead analytics projects end-to-end.
- Develop predictive models and analytical solutions.
- Analyze complex datasets for insights.
- Communicate findings to stakeholders.
- Work independently in a fast-paced environment.
About the role
About Audiense & Buxton by Audiense
Audiense is a Next-generation Analytics-to-action Platform That Helps Organizations Deeply Understand And Strategically Activate Their Consumers. We’ve Brought Together The Strengths Of Three Category-leading Brands — Buxton, Elevar, And Audiense — Into One Integrated, Insight-driven Solution. Buxton by Audiense – 30+ years of predictive modeling and location intelligence expertise. Elevar by Audiense – Industry-leading eCommerce tagging, event tracking, and revenue attribution tools. Audiense – Award-winning audience segmentation and social consumer intelligence for global brands. Together, we help brands across industries, from retail to CPG to media, make faster, smarter, and more confident decisions that fuel real-world growth. This position primarily supports the Buxton by Audiense line of business. We are seeking a highly analytical and self-directed professional to support advanced analytics initiatives across client engagements. This role is ideal for someone who thrives in fast-paced environments, can ramp up quickly with minimal oversight, and is comfortable owning analytical work from problem definition through delivery. The ideal candidate brings strong experience in quantitative analysis, statistical modeling, and Python-based analytics workflows. This individual will work cross-functionally to uncover insights, develop analytical solutions, and communicate findings directly to internal stakeholders and clients. This role is best suited for someone who enjoys solving complex business problems, working independently, and translating data into strategic recommendations.What You’ll Do
- Lead end-to-end analytical projects, from exploratory analysis and methodology selection through insight development and final delivery.
- Develop quantitative models and advanced analytical solutions to support client decision-making across marketing, real estate, and consumer strategy initiatives.
- Analyze large and complex datasets to identify trends, behavioral patterns, and actionable business insights.
- Design and execute ad hoc analyses using Python, SQL, and statistical methodologies.
- Translate analytical findings into clear business recommendations for both technical and non-technical audiences.
- Work directly with internal stakeholders and clients to scope analytical questions, prioritize opportunities, and deliver strategic insights.
- Operate independently across multiple projects in a fast-paced environment with minimal oversight.
- Develop analytical outputs, visualizations, and reporting solutions to support business decision-making.
- Collaborate cross-functionally to identify opportunities for deeper analysis and expanded client value.
What You Bring
- Bachelor’s degree in Data Science, Statistics, Economics, Mathematics, Business Analytics, or a related quantitative field required; advanced degree preferred.
- Strong experience in quantitative analytics, statistical modeling, and data interpretation.
- Advanced proficiency in Python for data analysis, modeling, and automation.
- Experience working independently with large and complex datasets across multiple data sources.
- Ability to structure ambiguous business problems into analytical frameworks and actionable recommendations.
- Strong analytical thinking and problem-solving skills with a high level of intellectual curiosity.
- Excellent written and verbal communication skills.
- Ability to quickly ramp into new business contexts and contribute with minimal onboarding.
- Comfortable operating in fast-moving environments with evolving priorities.
- Experience in client-facing, consulting, or cross-functional environments a plus.
- Proficiency with SQL and data querying concepts preferred.
- Experience with predictive modeling, statistical analysis, or advanced analytics techniques preferred.
Key skills/competency
- Predictive Modeling
- Data Analysis
- Statistical Modeling
- Python
- SQL
- Quantitative Analysis
- Client-Facing
- Business Insights
- Problem Solving
- Data Interpretation
Skills & topics
- Predictive Data Analyst
- Data Analysis
- Statistical Modeling
- Python
- SQL
- Quantitative Analysis
- Client-Facing
- Business Insights
- Problem Solving
- Data Interpretation
- Analytics Platform
- Location Intelligence
- Consumer Intelligence
- Contract Position
How to get hired
- Tailor your resume: Highlight Python, SQL, statistical modeling, and client-facing experience.
- Showcase your portfolio: Demonstrate analytical projects and their business impact.
- Prepare for technical interviews: Brush up on Python, SQL, and statistical concepts.
- Practice explaining complex data: Focus on translating insights for non-technical audiences.
- Research Buxton's offerings: Understand their predictive modeling and location intelligence expertise.
Technical preparation
Master Python for data analysis and modeling.,Practice SQL for complex data querying.,Review statistical and predictive modeling concepts.,Prepare to design analytical frameworks.
Behavioral questions
Describe a complex business problem you solved.,How do you handle ambiguity and evolving priorities?,Explain a technical finding to a non-technical audience.,How do you manage multiple projects independently?
Frequently asked questions
- What is the primary focus of the Predictive Data Analyst role at Buxton by Audiense?
- The Predictive Data Analyst role at Buxton by Audiense primarily focuses on supporting advanced analytics initiatives, leading end-to-end analytical projects, developing quantitative models, and translating data insights into strategic recommendations for clients.
- What technical skills are essential for the Predictive Data Analyst position?
- Essential technical skills include advanced proficiency in Python for data analysis and modeling, strong experience with SQL for data querying, and a solid understanding of statistical modeling and predictive analytics techniques.
- How important is independent work and minimal oversight for this role?
- Independent work and the ability to operate with minimal oversight are crucial. The role requires self-directed individuals who can own analytical work from problem definition through delivery across multiple projects in a fast-paced environment.
- What kind of analytical projects can I expect to work on as a Predictive Data Analyst?
- You can expect to work on a variety of projects, including developing quantitative models, analyzing large datasets to identify trends and behavioral patterns, and designing ad hoc analyses to support client decision-making in areas like marketing, real estate, and consumer strategy.
- Does Buxton by Audiense prefer candidates with a specific degree for the Predictive Data Analyst role?
- A Bachelor's degree in Data Science, Statistics, Economics, Mathematics, Business Analytics, or a related quantitative field is required. An advanced degree in a similar field is preferred.
- What experience is considered a plus for the Predictive Data Analyst position?
- Experience in client-facing roles, consulting, or cross-functional environments is considered a plus, as is prior experience with predictive modeling, statistical analysis, or advanced analytics techniques.
- How does Buxton by Audiense help brands make faster, smarter decisions?
- Buxton by Audiense leverages its integrated platform, combining expertise in predictive modeling, location intelligence, eCommerce tracking, audience segmentation, and social consumer intelligence to help brands make data-driven decisions that fuel growth.